The challenge for the teacher is delivering a lesson that caters to the 30 different students. Some will engage better with visual stimulus, others will respond to group activities. Yet, given the nature of classroom teaching, in this scenario the educator has to decide what teaching method will work best for the greatest number of students. Most people who work in the education sector would see the above scenario as an inevitable reality of teaching in a classroom. Schools in the UK do not have an infinite amount of resources to draw upon – in fact, according to a survey by the National Education Union, 55% of teachers saw their class sizes increase between April 2017 and April 2018. Moreover, half of the education professionals surveyed reported teaching posts being cut. With the number of students in the classroom rising, the idea of teachers delivering tailored lessons that cater to the learning needs of each individual pupil seems far-fetched. Yet, in reality, we are much closer than people might think, thanks to some of the exciting innovations unfolding in the AI industry.
THE most distractingly unrealistic feature of most science fiction--by some margin--is how the great soaring cities of the future never seem to struggle with traffic. Whatever dystopias lie ahead, futurists seem confident we can sort out congestion. If hope that technology will fix traffic springs eternal, history suggests something different. Transport innovation, from railways to cars, reshaped cities and drove economic advance. But it also brought crowded commutes.
Europe is awash with talent and technology in the AI space. Here are 10 European start-ups to watch in 2019. There is a growing belief that the artificial intelligence (AI) revolution could be even more profound than the internet revolution. While the technology is often characterised as a threat to traditional job security, if you look closely at this crop of European start-ups, their use of AI is about improving outcomes in everything from health and safety to better communications and creativity. In other words, AI as a subject is very broad with a myriad of uses, and therefore could be put to work to augment human capabilities or solve big world problems.
Industry experts and panelists will address cutting-edge developments ranging from the implementation of advanced AI technologies and AI-enabled digital innovations, to customer engagement via machine learning and automation, as well as AI applications in banking, finance, HR, health, marketing, cybersecurity, robotics, and the future of work and education. This event is held in conjunction with Creative Tech Week.
Digitalization has provided organizations with huge sets of data, opening new avenues to deploy and benefit from Big data and analytics. Every year insurance companies report billions of dollars of fraudulent cases and the most common form of fraud is identity theft. There is an imminent need for data to be secured and discovered properly to mitigate such fraudulent claims. AI with machine learning, big data and analytics can enhance the efficiency of data. AI assistant or chatbots were being used to handle customer complaints and process simple transactions.
While AI in its most basic form of "assisted intelligence" is readily available in many modern procurement and sourcing platforms, as evidenced in our previous briefings (AI in Procurement and AI in Sourcing), it has not yet creeped into optimization. The most advanced platforms have limited themselves to easy constraint creation, data verification and detection of hard constraints that prevent solutions -- as in the case of Coupa -- or easy data population, wizard-based scenario creation (using standard model templates), and automation -- as in the case of Keelvar. In the former case, the underlying statistical algorithms can be found at the heart of some modern machine learning technologies (but aren't quite there), and in the latter case, the robotic process automation (RPA) is nothing more than an automated, manually defined, workflow.
Augmented analytics and artificial intelligence (AI) are among the top data and analytics technology trends that have the potential to significantly change business operations in the next three to five years, according to a presentation at the Gartner Data and Analytics Summit in Sydney this week. Data and analytics leaders must examine the potential business impact of these technology trends, and adjust business models accordingly--or risk losing competitive advantage to companies that do, Rita Sallam, research vice president at Gartner, said at the event and in a press release. "The story of data and analytics keeps evolving, from supporting internal decision making to continuous intelligence, information products and appointing chief data officers," Sallam said in the release. "It's critical to gain a deeper understanding of the technology trends fueling that evolving story and prioritize them based on business value." With digital transformation efforts underway at most organizations, businesses are collecting more data than ever before, creating challenges but also major opportunities, Donald Feinberg, vice president and distinguished analyst at Gartner, said in the release.
Machine learning is one of the most promising career paths one can pursue. The career entails building systems that can act autonomously without being explicitly programmed or closely supervised. Being a machine learning expert will introduce you to a new world of opportunities. Your expertise in this field will always be in high demand. Let's say you want to learn machine learning.
Google today announced an update to its Cloud Speech-to-Text and Text-to-Speech APIs that introduces a few new features that should be especially interesting to enterprise users, as well as improved language support and a price cut. Most of these updates focus on the Speech-to-Text product, but Cloud Text-to-Speech is getting a major update with 31 new WaveNet and 24 new standard voices. The service now also supports seven new languages: Danish, Portuguese/Portugal, Russian, Polish, Slovakian, Ukrainian, and Norwegian Bokmål. These are all in beta right now and extend the list of supported languages to 21 total. The service now also features the ability to optimize audio playback for specific devices.
News that Gong.io has acquired $40M to add their existing funding shows they are well on their way to transforming CRM systems with the use of artificial intelligence. Gong.io is relatively new on the scene but is already making big moves in the CRM industry. Their AI-assisted Conversation Intelligence and account analytics platform removes the conjectures and unknowns to assist sales and marketing teams to formulate winning sales strategies. Founded in 2015 by Amit Bendov, CEO, and Eilon Reshef, CTO, the San Francisco and Israel based company has two very successful people at the helm. Both founders have impressive resumes with proven track records in the growing, selling, and IPOing of startups.